Handbook of Latent Variable and Related Models

Handbook of Latent Variable and Related Models
Author: Sik-Yum Lee
Publsiher: North-Holland
Total Pages: 435
Release: 2007
ISBN: 9780444520449
Category: Mathematics
Language: EN, FR, DE, ES & NL

Handbook of Latent Variable and Related Models Book Excerpt:

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

Handbook of Latent Variable and Related Models

Handbook of Latent Variable and Related Models
Author: Anonim
Publsiher: Elsevier
Total Pages: 458
Release: 2011-08-11
ISBN: 9780080471266
Category: Mathematics
Language: EN, FR, DE, ES & NL

Handbook of Latent Variable and Related Models Book Excerpt:

This Handbook covers latent variable models, which are a flexible class of models for modeling multivariate data to explore relationships among observed and latent variables. - Covers a wide class of important models - Models and statistical methods described provide tools for analyzing a wide spectrum of complicated data - Includes illustrative examples with real data sets from business, education, medicine, public health and sociology. - Demonstrates the use of a wide variety of statistical, computational, and mathematical techniques.

Latent Variable Models and Factor Analysis

Latent Variable Models and Factor Analysis
Author: David J. Bartholomew,Martin Knott,Irini Moustaki
Publsiher: John Wiley & Sons
Total Pages: 296
Release: 2011-06-28
ISBN: 1119973708
Category: Mathematics
Language: EN, FR, DE, ES & NL

Latent Variable Models and Factor Analysis Book Excerpt:

Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.

Random Effect and Latent Variable Model Selection

Random Effect and Latent Variable Model Selection
Author: David Dunson
Publsiher: Springer Science & Business Media
Total Pages: 170
Release: 2010-03-18
ISBN: 9780387767215
Category: Mathematics
Language: EN, FR, DE, ES & NL

Random Effect and Latent Variable Model Selection Book Excerpt:

Random Effect and Latent Variable Model Selection In recent years, there has been a dramatic increase in the collection of multivariate and correlated data in a wide variety of ?elds. For example, it is now standard pr- tice to routinely collect many response variables on each individual in a study. The different variables may correspond to repeated measurements over time, to a battery of surrogates for one or more latent traits, or to multiple types of outcomes having an unknown dependence structure. Hierarchical models that incorporate subje- speci?c parameters are one of the most widely-used tools for analyzing multivariate and correlated data. Such subject-speci?c parameters are commonly referred to as random effects, latent variables or frailties. There are two modeling frameworks that have been particularly widely used as hierarchical generalizations of linear regression models. The ?rst is the linear mixed effects model (Laird and Ware , 1982) and the second is the structural equation model (Bollen , 1989). Linear mixed effects (LME) models extend linear regr- sion to incorporate two components, with the ?rst corresponding to ?xed effects describing the impact of predictors on the mean and the second to random effects characterizing the impact on the covariance. LMEs have also been increasingly used for function estimation. In implementing LME analyses, model selection problems are unavoidable. For example, there may be interest in comparing models with and without a predictor in the ?xed and/or random effects component.

The SAGE Handbook of Quantitative Methods in Psychology

The SAGE Handbook of Quantitative Methods in Psychology
Author: Roger E Millsap,Alberto Maydeu-Olivares
Publsiher: SAGE
Total Pages: 801
Release: 2009-07-23
ISBN: 144620667X
Category: Psychology
Language: EN, FR, DE, ES & NL

The SAGE Handbook of Quantitative Methods in Psychology Book Excerpt:

`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

Handbook of Psychology Research Methods in Psychology

Handbook of Psychology  Research Methods in Psychology
Author: Irving B. Weiner,John A. Schinka,Wayne F. Velicer
Publsiher: John Wiley & Sons
Total Pages: 806
Release: 2012-10-16
ISBN: 0470890649
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Psychology Research Methods in Psychology Book Excerpt:

Psychology is of interest to academics from many fields, as well as to the thousands of academic and clinical psychologists and general public who can't help but be interested in learning more about why humans think and behave as they do. This award-winning twelve-volume reference covers every aspect of the ever-fascinating discipline of psychology and represents the most current knowledge in the field. This ten-year revision now covers discoveries based in neuroscience, clinical psychology's new interest in evidence-based practice and mindfulness, and new findings in social, developmental, and forensic psychology.

Applied Bayesian Modelling

Applied Bayesian Modelling
Author: Peter Congdon
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2014-05-23
ISBN: 1118895053
Category: Mathematics
Language: EN, FR, DE, ES & NL

Applied Bayesian Modelling Book Excerpt:

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using WinBUGS and OPENBUGS. This feature continues in the new edition along with examples using R to broaden appeal and for completeness of coverage.

Handbook of Sport Psychology

Handbook of Sport Psychology
Author: Gershon Tenenbaum,Robert C. Eklund
Publsiher: John Wiley & Sons
Total Pages: 1392
Release: 2020-03-31
ISBN: 1119568080
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Sport Psychology Book Excerpt:

The fourth edition of a classic, leading resource for the field of sport, exercise, and performance psychology Now expanded to two volumes, and featuring a wealth of new chapters from highly respected scholars in the field, this all-new edition of the Handbook of Sports Psychology draws on an international roster of experts and scholars in the field who have assembled state-of-the-art knowledge into this thorough, well-rounded, and accessible volume. Endorsed by the International Society of Sport Psychology, it represents an invaluable source of theoretical and practical information on our understanding of the role of psychology in sport, exercise, and performance—and how that understanding can be applied in order to improve real-world outcomes. Presented in eight parts, the Handbook of Sports Psychology, 4th Edition adds new material on emerging areas such as mindfulness, brain mapping, self-consciousness, and mental toughness, and covers special topics such as gender and cultural diversity, athletes with disabilities, and alcohol and drug use in sports. In addition, it covers classic topics such as what motivates an athlete to perform; why do some choke under pressure; how do top performers handle leadership roles; what does one do to mentally train; how an athlete deals with injury; and much more. Fourth edition of the most influential reference work for the field of sport psychology New coverage includes mindfulness in sport and exercise psychology, ethics, mental toughness, sport socialization, and making use of brain technologies in practice Endorsed by the International Society of Sport Psychology (ISSP) Handbook of Sports Psychology, 4th Edition is an indispensable resource for any student or professional interested in the field of sports psychology.

Structural Equation Modeling for Health and Medicine

Structural Equation Modeling for Health and Medicine
Author: Douglas D. Gunzler,Adam T. Perzynski,Adam C. Carle
Publsiher: CRC Press
Total Pages: 299
Release: 2021-04-12
ISBN: 1351329723
Category: Mathematics
Language: EN, FR, DE, ES & NL

Structural Equation Modeling for Health and Medicine Book Excerpt:

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

The SAGE Handbook of Multilevel Modeling

The SAGE Handbook of Multilevel Modeling
Author: Marc A. Scott,Jeffrey S. Simonoff,Brian D. Marx
Publsiher: SAGE
Total Pages: 696
Release: 2013-08-31
ISBN: 1473971314
Category: Reference
Language: EN, FR, DE, ES & NL

The SAGE Handbook of Multilevel Modeling Book Excerpt:

In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.

Bayesian Hierarchical Models

Bayesian Hierarchical Models
Author: Peter D. Congdon
Publsiher: CRC Press
Total Pages: 580
Release: 2019-09-16
ISBN: 1498785913
Category: Mathematics
Language: EN, FR, DE, ES & NL

Bayesian Hierarchical Models Book Excerpt:

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing, this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis, but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects, and one on computing options and strategies. This latter chapter is particularly important, due to recent advances in Bayesian computing and estimation, including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment, while allowing readers to explore alternative likelihood assumptions, regression structures, and assumptions on prior densities. Features: Provides a comprehensive and accessible overview of applied Bayesian hierarchical modelling Includes many real data examples to illustrate different modelling topics R code (based on rjags, jagsUI, R2OpenBUGS, and rstan) is integrated into the book, emphasizing implementation Software options and coding principles are introduced in new chapter on computing Programs and data sets available on the book’s website

Handbook of Advanced Multilevel Analysis

Handbook of Advanced Multilevel Analysis
Author: Joop Hox,J. Kyle Roberts
Publsiher: Psychology Press
Total Pages: 408
Release: 2011-01-11
ISBN: 113695127X
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Advanced Multilevel Analysis Book Excerpt:

This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book’s website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book’s concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.

The Routledge Handbook of Tourism Impacts

The Routledge Handbook of Tourism Impacts
Author: Dogan Gursoy,Robin Nunkoo
Publsiher: Routledge
Total Pages: 530
Release: 2019-04-29
ISBN: 1351025090
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Routledge Handbook of Tourism Impacts Book Excerpt:

This handbook explores and critically examines both positive and negative impacts of tourism development focusing on the past, present and future issues, challenges and trends from a multidisciplinary global perspective. Through a comparative approach involving international case studies, this book explores our understanding of tourism impacts and contributes to the theoretical development on relationships between tourism impacts and community support for tourism development. This handbook focuses on a variety of geographical locations, drawing from the knowledge and expertise of highly regarded academics from around the world. Specifically, it explores the adoption and implementation of various tourism development and impact management approaches in a wide range of global contexts, while identifying their trends, issues and challenges. It addresses strategies relating to innovation, sustainability and social responsibility, and critically reviews the economic, sociocultural, environmental, political and technological impacts of tourism. The text also identifies future trends and issues, as well as exploring the methods used to study tourism impacts. Conveying the latest thinking and research, this handbook will be a key reference for students, researchers and academics of tourism, as well as development studies, geography, cultural studies, sustainability and business, encouraging dialogue across disciplinary boundaries and areas of study.

Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling
Author: Rick H. Hoyle
Publsiher: Guilford Publications
Total Pages: 801
Release: 2023-02-17
ISBN: 1462544649
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Handbook of Structural Equation Modeling Book Excerpt:

"This accessible volume presents both the mechanics of structural equation modeling (SEM) and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results"--

Handbook of Structural Equation Modeling

Handbook of Structural Equation Modeling
Author: Rick H. Hoyle
Publsiher: Guilford Publications
Total Pages: 753
Release: 2014-01-01
ISBN: 1462516793
Category: Psychology
Language: EN, FR, DE, ES & NL

Handbook of Structural Equation Modeling Book Excerpt:

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

Multilevel Analysis

Multilevel Analysis
Author: Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot
Publsiher: Routledge
Total Pages: 393
Release: 2010-09-13
ISBN: 1136975357
Category: Education
Language: EN, FR, DE, ES & NL

Multilevel Analysis Book Excerpt:

This practical introduction helps readers apply multilevel techniques to their research. Noted as an accessible introduction, the book also includes advanced extensions, making it useful as both an introduction and as a reference to students, researchers, and methodologists. Basic models and examples are discussed in non-technical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines. For example, readers will find data sets on stress in hospitals, GPA scores, survey responses, street safety, epilepsy, divorce, and sociometric scores, to name a few. The data sets are available on the website in SPSS, HLM, MLwiN, LISREL and/or Mplus files. Readers are introduced to both the multilevel regression model and multilevel structural models. Highlights of the second edition include: Two new chapters—one on multilevel models for ordinal and count data (Ch. 7) and another on multilevel survival analysis (Ch. 8). Thoroughly updated chapters on multilevel structural equation modeling that reflect the enormous technical progress of the last few years. The addition of some simpler examples to help the novice, whilst the more complex examples that combine more than one problem have been retained. A new section on multivariate meta-analysis (Ch. 11). Expanded discussions of covariance structures across time and analyzing longitudinal data where no trend is expected. Expanded chapter on the logistic model for dichotomous data and proportions with new estimation methods. An updated website at http://www.joophox.net/ with data sets for all the text examples and up-to-date screen shots and PowerPoint slides for instructors. Ideal for introductory courses on multilevel modeling and/or ones that introduce this topic in some detail taught in a variety of disciplines including: psychology, education, sociology, the health sciences, and business. The advanced extensions also make this a favorite resource for researchers and methodologists in these disciplines. A basic understanding of ANOVA and multiple regression is assumed. The section on multilevel structural equation models assumes a basic understanding of SEM.

Handbook of Quantitative Criminology

Handbook of Quantitative Criminology
Author: Alex R. Piquero,David Weisburd
Publsiher: Springer Science & Business Media
Total Pages: 787
Release: 2009-12-16
ISBN: 9780387776507
Category: Social Science
Language: EN, FR, DE, ES & NL

Handbook of Quantitative Criminology Book Excerpt:

Quantitative criminology has certainly come a long way since I was ?rst introduced to a largely qualitative criminology some 40 years ago, when I was recruited to lead a task force on science and technology for the President’s Commission on Law Enforcement and Administration of Justice. At that time, criminology was a very limited activity, depending almost exclusively on the Uniform Crime Reports (UCR) initiated by the FBI in 1929 for measurement of crime based on victim reports to the police and on police arrests. A ty- cal mode of analysis was simple bivariate correlation. Marvin Wolfgang and colleagues were makingan importantadvancebytrackinglongitudinaldata onarrestsin Philadelphia,an in- vation that was widely appreciated. And the ?eld was very small: I remember attending my ?rst meeting of the American Society of Criminology in about 1968 in an anteroom at New York University; there were about 25–30 people in attendance, mostly sociologists with a few lawyers thrown in. That Society today has over 3,000 members, mostly now drawn from criminology which has established its own clear identity, but augmented by a wide variety of disciplines that include statisticians, economists, demographers, and even a few engineers. This Handbook provides a remarkable testimony to the growth of that ?eld. Following the maxim that “if you can’t measure it, you can’t understand it,” we have seen the early dissatisfaction with the UCR replaced by a wide variety of new approaches to measuring crime victimization and offending.

Handbook of Developmental Research Methods

Handbook of Developmental Research Methods
Author: Brett Laursen,Todd D. Little,Noel A. Card
Publsiher: Guilford Press
Total Pages: 788
Release: 2012-02-01
ISBN: 1609189515
Category: Social Science
Language: EN, FR, DE, ES & NL

Handbook of Developmental Research Methods Book Excerpt:

Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Statistics in the Social Sciences

Statistics in the Social Sciences
Author: Stanislav Kolenikov,Lori Thombs,Douglas Steinley
Publsiher: John Wiley & Sons
Total Pages: 288
Release: 2010-02-22
ISBN: 9780470583326
Category: Mathematics
Language: EN, FR, DE, ES & NL

Statistics in the Social Sciences Book Excerpt:

A one-of-a-kind compilation of modern statistical methods designed to support and advance research across the social sciences Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth Annual Winemiller Conference: Methodological Developments of Statistics in the Social Sciences, an international meeting that focused on fostering collaboration among mathematical statisticians and social science researchers. The book provides an accessible and insightful look at modern approaches to identifying and describing current, effective methodologies that ultimately add value to various fields of social science research. With contributions from leading international experts on the topic, the book features in-depth coverage of modern quantitative social sciences topics, including: Correlation Structures Structural Equation Models and Recent Extensions Order-Constrained Proximity Matrix Representations Multi-objective and Multi-dimensional Scaling Differences in Bayesian and Non-Bayesian Inference Bootstrap Test of Shape Invariance across Distributions Statistical Software for the Social Sciences Statistics in the Social Sciences: Current Methodological Developments is an excellent supplement for graduate courses on social science statistics in both statistics departments and quantitative social sciences programs. It is also a valuable reference for researchers and practitioners in the fields of psychology, sociology, economics, and market research.

Applied Missing Data Analysis

Applied Missing Data Analysis
Author: Craig K. Enders
Publsiher: Guilford Publications
Total Pages: 563
Release: 2022-08-31
ISBN: 1462549861
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Applied Missing Data Analysis Book Excerpt:

"The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website includes datasets and analysis examples from the book, up-to-date software information, and other resources. Subject areas/Key words: advanced quantitative methods, management, survey, longitudinal, structural equation modeling, handling, how to handle, incomplete, multivariate, social research, behavioral sciences, statistical techniques, textbooks, seminars, doctoral courses, multiple imputation, models, MCAR, MNAR, Bayesian Audience: Researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science"--